Microsoft GH-200 Exam Questions 2025

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Our Microsoft GH-200 GitHub Advanced Security Associate Exam Questions provide real, current scenarios validated by Microsoft experts. Combined with precise answers and a realistic simulator, they give you the practice you need for confident certification success.

 

About GH-200 Exam

What is the Microsoft GH-200 exam, and what will you learn from it?

The Microsoft GH-200 exam, officially focused on Microsoft Generative AI Solutions, validates your skills in designing, managing, and integrating AI-powered applications using Microsoft’s advanced generative AI tools and infrastructure. This includes expertise in Azure OpenAI, responsible AI practices, prompt engineering, and secure deployment of generative models.

The GH-200 certification is ideal for professionals responsible for applying AI technologies to enhance real-world business solutions such as chatbots, automation tools, content generation systems, and intelligent analytics.

Earning this certification showcases your ability to:

  • Deploy and optimize Microsoft generative AI solutions
  • Build AI-powered applications using Azure AI Studio and OpenAI APIs
  • Apply governance, compliance, and data protection in AI workflows
  • Improve business innovation through advanced machine learning techniques

To boost your preparation and confidence, you can study using the best Microsoft GH-200 exam questions through Cert Empire (internal linking maintained: Cert Empire’s proven Microsoft exam preparation resources).

Exam Snapshot

Field

Details

Exam Code

GH-200

Exam Name

Microsoft Generative AI Solutions

Vendor

Microsoft

Version / Year

Latest (2024–2025)

Average Salary

USD 110,000–150,000 annually

Cost

USD 165 (region dependent)

Exam Format

Multiple-choice + scenario-based questions + case studies

Duration (minutes)

120 minutes

Delivery Method

Online proctored or Pearson VUE center

Languages

English

Scoring Method

Scaled score (100–1000)

Passing Score

700

Prerequisites

None required (AI experience recommended)

Retake Policy

24 hours after first fail; extended wait for subsequent retakes

Target Audience

AI engineers, cloud developers, data professionals

Certification Validity

One year (renewable via Microsoft assessment)

Release Date

Updated content 2024

Prerequisites before taking the GH-200 exam

While there are no mandatory requirements, Microsoft recommends having:

  • Basic understanding of Azure services and AI workloads
  • Familiarity with REST APIs and JSON
  • Experience with Python or C# for AI integrations
  • Awareness of responsible AI frameworks and compliance

Hands-on exposure to Azure OpenAI Studio will be extremely helpful.

Main objectives and domains you will study for GH-200

The GH-200 exam covers the following core domains:

  1. Plan and design generative AI solutions
  2. Build and integrate Azure OpenAI applications
  3. Configure data protection, governance, and responsible AI
  4. Monitor, evaluate, and optimize generative AI performance

Topics to cover in each GH-200 exam domain

1. Plan generative AI architecture

  • Select appropriate models (GPT, embedding, vision models)
  • Define prompt engineering workflows
  • Identify operational controls and business use cases

2. Build and deploy AI-powered applications

  • Azure OpenAI API authentication and provisioning
  • Implement chat completions and embeddings
  • Integrate content filters and knowledge bases

3. Manage compliance and secure AI operations

  • Implement Responsible AI and risk assessments
  • Privacy controls for enterprise workloads
  • Data governance aligned with compliance standards

4. Monitor and improve AI solution performance

  • Model fine-tuning strategies
  • Evaluate performance with real-world analytics
  • Responsible drift monitoring and user constraint handling

Changes in the latest version of GH-200

Microsoft recently updated the exam to include:

  • Expanded Azure AI Studio capabilities
  • Reinforced governance and responsible AI standards
  • New case studies on enterprise generative AI deployments
  • Updated APIs for advanced GPT model usage

Register and schedule your GH-200 exam

Step-by-step registration:

  1. Sign into Microsoft Learn
  2. Select GH-200 under Azure AI certifications
  3. Choose online or testing center delivery
  4. Pay the exam fee and schedule through Pearson VUE

Ensure system compatibility if taking the exam remotely.

GH-200 exam cost, and can you get any discounts?

  • Standard price: USD 165
  • Student discounts: Up to 50% with academic verification
  • Volume discounts: Available for enterprise partners
  • Microsoft Virtual Training Days: Occasional voucher discounts

Exam policies you should know before taking GH-200

  • Valid government ID required on exam day
  • Retake guidelines:
    • 24 hours after first attempt
    • 14-day gap for repeated failures
  • Certification renewal required every year via Microsoft assessment

What can you expect on your GH-200 exam day?

  • ~40–60 questions, including:
    • Case studies
    • Multiple response tasks
    • Real-world AI architecture scenarios
  • Results displayed immediately after completion
  • No external devices or notes allowed

Plan your GH-200 study schedule effectively with 8 Study Tips

  1. Begin with Microsoft Learn GH-200 modules
  2. Practice building solutions in Azure AI Studio
  3. Learn the most common Azure OpenAI API configurations
  4. Create study notes on governance and responsible AI rules
  5. Join AI-focused study groups and communities
  6. Practice case-study-based reasoning
  7. Use weekly mock exams to track progress
  8. Study with GH-200 best exam questions from Cert Empire to improve exam performance

Best study resources you can use to prepare for GH-200

  • Microsoft Learn Generative AI Learning Path
  • Azure AI Studio documentation and quickstarts
  • Microsoft responsible AI standards
  • GitHub generative AI reference projects
  • Cert Empire GH-200 best exam questions for realistic practice scenarios

Career opportunities you can explore after earning GH-200

This certification opens doors to roles such as:

  • Generative AI Engineer
  • Azure AI Developer
  • AI Product Specialist
  • Automation and Innovation Architect
  • Cloud AI Solutions Consultant

Professionals skilled in generative AI are rapidly becoming essential across all industry sectors.

Certifications to go for after completing GH-200

Recommended progression:

  • AI-102 (Azure AI Engineer Associate)
  • DP-100 (Azure Data Scientist Associate)
  • AZ-305 (Cloud Solutions Architect)
  • SC-100 (Cybersecurity Architect Expert)

These certifications allow you to deepen your expertise in AI, data, and cloud security.

How does GH-200 compare to other AI certifications?

Certification

Focus

Difficulty

Who Should Take It

GH-200

Generative AI solutions

Intermediate

AI innovation roles

AI-102

Azure AI engineering

Advanced

AI developers & engineers

DP-100

Data science and ML

Advanced

Machine learning specialists

AZ-900

Azure fundamentals

Beginner

New cloud learners

GH-200 stands out for its strong alignment with the rapid growth of enterprise generative AI workloads.

Ready to become a Generative AI professional?

Take the smart step toward career growth with updated GH-200 best exam questions from Cert Empire, helping you prepare efficiently and succeed on your first attempt.

 

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